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Projects

Displaying results 1 to 8 of 8.
  1. FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend …

  2. Adra-e – AI, Data and Robotics ecosystem

    Adra-e – AI, Data and Robotics ecosystem

    Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support …

  3. DECODE – Continual learning for visual and multi-modal encoding of human surrounding and behavior

    DECODE – Continual learning for visual and multi-modal encoding of human surrounding and behavior

    Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionized Computer Vision in almost all areas. These …

  4. ErgoBest – Erhebung ergonomischer Best Practices in industriellen Arbeitsprozessen  mittels Internet-of-Things und Mixed Reality

    ErgoBest – Erhebung ergonomischer Best Practices in industriellen Arbeitsprozessen mittels Internet-of-Things und Mixed Reality

    MOTIVATION Ergonomische Fehlhaltungen tragen zu einem erhöhten Krankenstand und einem gesundheitsbedingten frühen Ausscheiden aus der Arbeitswelt bei. …

  5. KI@Home – Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

    KI@Home – Prädiktion von adverse events mittels Künstlicher Intelligenz und Ambient Assisted Living-Systemen in der Häuslichkeit von pflegebedürftigen Personen

    The goal is to develop a risk assessment module for a smart home platform with a focus on "smart ageing". A collection of sensors is installed in the …

  6. ASCAPE – Artificial intelligence Supporting CAncer Patients across Europe

    ASCAPE – Artificial intelligence Supporting CAncer Patients across Europe

    The project objective is to take advantage of the advances in Big Data, Artificial Intelligence and Machine Learning to support cancer patients’ …

  7. Fast&Slow – Combination of Symbolic and Subsymbolic Methods

    Fast&Slow – Combination of Symbolic and Subsymbolic Methods

    Deep learning methods are used in many application areas and work very efficiently after a training phase. However, in general no reliable statement …

  8. VerSys – A Sound Verification Platform for Early Software Development for RISC-V based Systems

    VerSys – A Sound Verification Platform for Early Software Development for RISC-V based Systems

    The aim of the VerSys project is to develop a consistent platform for early software development based on RISC-V technology, an instruction set …